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比较智能手机应用程序中用于减肥的自我监测策略:随机对照试验。

Comparing Self-Monitoring Strategies for Weight Loss in a Smartphone App: Randomized Controlled Trial.

机构信息

Department of Psychology and Neuroscience, Duke University, Durham, NC, United States.

Duke Digital Health Science Center, Duke Global Health Institute, Durham, NC, United States.

出版信息

JMIR Mhealth Uhealth. 2019 Feb 28;7(2):e12209. doi: 10.2196/12209.

Abstract

BACKGROUND

Self-monitoring of dietary intake is a valuable component of behavioral weight loss treatment; however, it declines quickly, thereby resulting in suboptimal treatment outcomes.

OBJECTIVE

This study aimed to examine a novel behavioral weight loss intervention that aims to attenuate the decline in dietary self-monitoring engagement.

METHODS

GoalTracker was an automated randomized controlled trial. Participants were adults with overweight or obesity (n=105; aged 21-65 years; body mass index, BMI, 25-45 kg/m) and were randomized to a 12-week stand-alone weight loss intervention using the MyFitnessPal smartphone app for daily self-monitoring of either (1) both weight and diet, with weekly lessons, action plans, and feedback (Simultaneous); (2) weight through week 4, then added diet, with the same behavioral components (Sequential); or (3) only diet (App-Only). All groups received a goal to lose 5% of initial weight by 12 weeks, a tailored calorie goal, and automated in-app reminders. Participants were recruited via online and offline methods. Weight was collected in-person at baseline, 1 month, and 3 months using calibrated scales and via self-report at 6 months. We retrieved objective self-monitoring engagement data from MyFitnessPal using an application programming interface. Engagement was defined as the number of days per week in which tracking occurred, with diet entries counted if ≥800 kcal per day. Other assessment data were collected in-person via online self-report questionnaires.

RESULTS

At baseline, participants (84/100 female) had a mean age (SD) of 42.7 (11.7) years and a BMI of 31.9 (SD 4.5) kg/m. One-third (33/100) were from racial or ethnic minority groups. During the trial, 5 participants became ineligible. Of the remaining 100 participants, 84% (84/100) and 76% (76/100) completed the 1-month and 3-month visits, respectively. In intent-to-treat analyses, there was no difference in weight change at 3 months between the Sequential arm (mean -2.7 kg, 95% CI -3.9 to -1.5) and either the App-Only arm (-2.4 kg, -3.7 to -1.2; P=.78) or the Simultaneous arm (-2.8 kg, -4.0 to -1.5; P=.72). The median number of days of self-monitoring diet per week was 1.9 (interquartile range [IQR] 0.3-5.5) in Sequential (once began), 5.3 (IQR 1.8-6.7) in Simultaneous, and 2.9 (IQR 1.2-5.2) in App-Only. Weight was tracked 4.8 (IQR 1.9-6.3) days per week in Sequential and 5.1 (IQR 1.8-6.3) days per week in Simultaneous. Engagement in neither diet nor weight tracking differed between arms.

CONCLUSIONS

Regardless of the order in which diet is tracked, using tailored goals and a commercial mobile app can produce clinically significant weight loss. Stand-alone digital health treatments may be a viable option for those looking for a lower intensity approach.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03254953; https://clinicaltrials.gov/ct2/show/NCT03254953 (Archived by WebCite at http://www.webcitation.org/72PyQrFjn).

摘要

背景

自我监测饮食摄入量是行为减肥治疗的一个有价值的组成部分;然而,它很快就会下降,从而导致治疗效果不佳。

目的

本研究旨在检验一种新的行为减肥干预措施,旨在减轻饮食自我监测参与度下降的情况。

方法

GoalTracker 是一项自动化随机对照试验。参与者为超重或肥胖的成年人(n=105;年龄 21-65 岁;体重指数,BMI,25-45kg/m),并随机分为 12 周的独立减肥干预组,使用 MyFitnessPal 智能手机应用程序进行每日自我监测体重和饮食,每周有课程、行动计划和反馈(同时);(2)体重在前 4 周,然后加入饮食,采用相同的行为成分(顺序);或(3)仅饮食(仅应用程序)。所有组都设定了在 12 周内减轻初始体重 5%的目标,一个量身定制的卡路里目标和自动应用内提醒。参与者通过在线和离线方法招募。体重在基线、1 个月和 3 个月时使用校准秤进行测量,并在 6 个月时通过自我报告进行测量。我们使用应用程序编程接口从 MyFitnessPal 中检索客观的自我监测参与数据。参与度定义为每周进行跟踪的天数,每天记录的饮食条目如果≥800 千卡。其他评估数据通过在线自我报告问卷进行面对面收集。

结果

在基线时,参与者(84/100 名女性)的平均年龄(SD)为 42.7(11.7)岁,体重指数(SD)为 31.9(4.5)kg/m。三分之一(33/100)来自种族或少数民族群体。在试验期间,有 5 名参与者失去资格。在剩余的 100 名参与者中,84%(84/100)和 76%(76/100)分别完成了 1 个月和 3 个月的访问。在意向治疗分析中,Sequential 臂(平均 -2.7kg,95%CI -3.9 至 -1.5)与 App-Only 臂(-2.4kg,-3.7 至 -1.2;P=.78)或 Simultaneous 臂(-2.8kg,-4.0 至 -1.5;P=.72)之间,3 个月时体重变化无差异。每周自我监测饮食天数的中位数在 Sequential 臂中为 1.9(四分位距[IQR] 0.3-5.5),在 Simultaneous 臂中为 5.3(IQR 1.8-6.7),在 App-Only 臂中为 2.9(IQR 1.2-5.2)。Sequential 臂中体重跟踪的天数为每周 4.8(IQR 1.9-6.3),Simultaneous 臂中体重跟踪的天数为每周 5.1(IQR 1.8-6.3)。无论是饮食还是体重跟踪,各臂之间的参与度都没有差异。

结论

无论饮食跟踪的顺序如何,使用定制目标和商业移动应用程序都可以产生显著的体重减轻。独立的数字健康治疗可能是那些寻求低强度方法的人的可行选择。

试验注册

ClinicalTrials.gov NCT03254953;https://clinicaltrials.gov/ct2/show/NCT03254953(由 WebCite 存档,http://www.webcitation.org/72PyQrFjn)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/949d/6416539/ff166076bb71/mhealth_v7i2e12209_fig1.jpg

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